{"id":"W6962189600","doi":"10.15468/dl.w5vejr","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009118384,0.00196714,0.001464079,0.004700359,0.0009399869,0.002367492,0.00256797,0.001875748,0.1610693],"category_scores_gemma":[0.005815071,0.0008815915,0.001176566,0.009338211,0.0004317725,0.002115158,0.002460055,0.001759745,0.2164204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415393,"about_ca_system_score_gemma":0.002210682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01985713,"about_ca_topic_score_gemma":0.03194223,"domain_scores_codex":[0.9990062,0.0001347521,0.0001261124,0.0003587648,0.0002058223,0.0001683852],"domain_scores_gemma":[0.9976625,0.0006650578,0.0002219016,0.0006000555,0.0005837141,0.000266658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003206189,0.0000117641,0.0004158207,0.0005234948,0.00001376606,0.00001404447,0.00002100902,0.0001320074,0.000122496,0.0003470067,0.9968547,0.001511902],"study_design_scores_gemma":[0.00007895662,0.00001082009,0.00198963,0.0001842778,0.00001463981,0.00003635572,0.00006981213,0.000162048,0.0001969156,0.0007819296,0.9964562,0.00001831525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004834913,0.0000258002,0.00004121078,0.0000337474,0.00001289625,0.000005193398,0.9988305,0.0003752609,0.0006270937],"genre_scores_gemma":[0.0001708301,0.00003305253,0.0001957989,0.00004639964,0.000003773503,0.00004221718,0.9988793,0.0001456338,0.0004830934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8389307,"threshold_uncertainty_score":0.5388306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}